Mohamed El-Tarhuni¹, Khaled Assaleh², and Firas Kiftaro¹, ¹American University of Sharjah, UAE and ²Ajman University, UAE

In this paper, a cognitive radio system is implemented using National Instruments (NI) Universal Software Radio Peripheral (USRP) devices. The implemented system provides a working prototype based on real data generated and collected by an experimental laboratory setup to compare the performance of spectrum sensing algorithms based on energy detection and polynomial classifier channel sensing techniques. For a sensing time interval ranging from 0.05 ms to 5ms, the experimental results show that the polynomial classifier has a better performance compared to the conventional energy detector in terms of the misclassification rate, especially at lower SNR values

Cognitive Radio, Spectrum Dynamic Access, Spectrum Sensing, Polynomial Classifier, Energy Detection, USRP